• Title/Summary/Keyword: realize the algorithm

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An Integer Programming Approach to Packing Lightpaths on WDM Networks (파장분할다중화망의 광경로 패킹에 대한 정수계획 해법)

  • Lee, Kyungsik;Lee, Taehan;Park, Sungsoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.3
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    • pp.219-225
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    • 2006
  • We consider a routing and wavelength assignment (RWA) for the efficient operation of WDM networks. For a given physical network, a set of selected pairs of nodes, the number of required connections for each selected pair of nodes, and a set of available wavelengths, the RWA is to realize as many connections as possible without wavelength collision. We give an integer programming formulation and an algorithm based on column generation. Though the proposed algorithm does not guarantee optimal solutions, test results show that the algorithm gives probably good solutions.

Sliding Mode Control for Servo Motors Based on the Differential Evolution Algorithm

  • Yin, Zhonggang;Gong, Lei;Du, Chao;Liu, Jing;Zhong, Yanru
    • Journal of Power Electronics
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    • v.18 no.1
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    • pp.92-102
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    • 2018
  • A sliding mode control (SMC) for servo motors based on the differential evolution (DE) algorithm, called DE-SMC, is proposed in this study. The parameters of SMC should be designed exactly to improve the robustness, realize the precision positioning, and reduce the steady-state speed error of the servo drive. The main parameters of SMC are optimized using the DE algorithm according to the speed feedback information of the servo motor. The most significant influence factor of the DE algorithm is optimization iteration. A suitable iteration can be achieved by the tested optimization process profile of the main parameters of SMC. Once the parameters of SMC are optimized under a convergent iteration, the system realizes the given performance indices within the shortest time. The experiment indicates that the robustness of the system is improved, and the dynamic and steady performance achieves the given performance indices under a convergent iteration when motor parameters mismatch and load disturbance is added. Moreover, the suitable iteration effectively mitigates the low-speed crawling phenomenon in the system. The correctness and effectiveness of DE-SMC are verified through the experiment.

Development of Oil Change Warning Algorithm and Display Device (오일교환경보 알고리즘 및 표시장치 개발)

  • Chun, Sang Myung
    • Tribology and Lubricants
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    • v.30 no.3
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    • pp.168-176
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    • 2014
  • This paper presents an engine oil change warning algorithm based on the test results of a small dip-stick-gage-type engine-oil-deterioration-detection sensor, software to realize the algorithm and a display device to apply the software. The algorithm determines the engine oil deterioration condition from the rate of change in the dielectric constant based on the average measured capacitance at $80^{\circ}C$ after the engine stops. The rate of change in the dielectric constant at the time for oil change correlates with the time that one of recommended warning limits for engine oil physical properties such as TAN (Total Acid Number), TBN (Total Base Number) and viscosity is first reached. At this point, a warning signal for oil change appears on the display device like a smart-phone or individual display device. The frames of smartphone app have three stages. The user can directly input all of the thresholds into the frame of the smartphone app. The screen of the display device comprises one frame for each warning signature with the related message. The user can input the thresholds to the device through a USB cable connected to a personal computer.

Improved SDR Frequency Tuning Algorithm for Frequency Hopping Systems

  • Ibrahim, Mostafa;Galal, Islam
    • ETRI Journal
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    • v.38 no.3
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    • pp.455-462
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    • 2016
  • Frequency hopping (FH) is a common characteristic of a wide variety of communication systems. On the other hand, software-defined radio (SDR) is an increasingly utilized technology for implementing modern communication systems. The main challenge when trying to realize an SDR FH system is the frequency tuning time, that is, the higher the hopping rate, the lower the required frequency tuning time. In this paper, significant universal hardware driver tuning options (within GNU Radio software) are investigated to discover the tuning option that gives the minimum frequency tuning time. This paper proposes an improved SDR frequency tuning algorithm for the generation of a target signal (with a given target frequency). The proposed algorithm aims to improve the frequency tuning time without any frequency deviation, thus allowing the realization of modern communication systems with higher FH rates. Moreover, it presents the design and implementation of an original GNU Radio Companion block that utilizes the proposed algorithm. The target SDR platform is that of the Universal Software Radio Peripheral USRP-N210 paired with the RFX2400 daughter board. Our results show that the proposed algorithm achieves higher hopping rates of up to 5,000 hops/second.

An Improved Multiplicative Updating Algorithm for Nonnegative Independent Component Analysis

  • Li, Hui;Shen, Yue-Hong;Wang, Jian-Gong
    • ETRI Journal
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    • v.35 no.2
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    • pp.193-199
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    • 2013
  • This paper addresses nonnegative independent component analysis (NICA), with the aim to realize the blind separation of nonnegative well-grounded independent source signals, which arises in many practical applications but is hardly ever explored. Recently, Bertrand and Moonen presented a multiplicative NICA (M-NICA) algorithm using multiplicative update and subspace projection. Based on the principle of the mutual correlation minimization, we propose another novel cost function to evaluate the diagonalization level of the correlation matrix, and apply the multiplicative exponentiated gradient (EG) descent update to it to maintain nonnegativity. An efficient approach referred to as the EG-NICA algorithm is derived and its validity is confirmed by numerous simulations conducted on different types of source signals. Results show that the separation performance of the proposed EG-NICA algorithm is superior to that of the previous M-NICA algorithm, with a better unmixing accuracy. In addition, its convergence speed is adjustable by an appropriate user-defined learning rate.

Energy-Aware Hybrid Cooperative Relaying with Asymmetric Traffic

  • Chen, Jian;Lv, Lu;Geng, Wenjin;Kuo, Yonghong
    • ETRI Journal
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    • v.37 no.4
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    • pp.717-726
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    • 2015
  • In this paper, we study an asymmetric two-way relaying network where two source nodes intend to exchange information with the help of multiple relay nodes. A hybrid time-division broadcast relaying scheme with joint relay selection (RS) and power allocation (PA) is proposed to realize energy-efficient transmission. Our scheme is based on the asymmetric level of the two source nodes' target signal-to-noise ratio indexes to minimize the total power consumed by the relay nodes. An optimization model with joint RS and PA is studied here to guarantee hybrid relaying transmissions. Next, with the aid of our proposed intelligent optimization algorithm, which combines a genetic algorithm and a simulated annealing algorithm, the formulated optimization model can be effectively solved. Theoretical analyses and numerical results verify that our proposed hybrid relaying scheme can substantially reduce the total power consumption of relays under a traffic asymmetric scenario; meanwhile, the proposed intelligent optimization algorithm can eventually converge to a better solution.

Chaotic Time Series Prediction using Extended Fuzzy Entropy Clustering (확장된 퍼지엔트로피 클러스터링을 이용한 카오스 시계열 데이터 예측)

  • 박인규
    • Proceedings of the IEEK Conference
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    • 2000.06c
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    • pp.5-8
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    • 2000
  • In this paper, we propose new algorithms for the partition of input space and the generation of fuzzy control rules. The one consists of Shannon and extended fuzzy entropy function, the other consists of adaptive fuzzy neural system with back propagation teaming rule. The focus of this scheme is to realize the optimal fuzzy rule base with the minimal number of the parameters of the rules, reducing the complexity of the system. The proposed algorithm is tested with the time series prediction problem using Mackey-Glass chaotic time series.

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A Study on the Probabilistic Production Cost Calculation by the Developed EIGC Method. (확장된EIGC법에 의한 확업적 발전비 게산에 관한 연구)

  • 송길영;최재석;김용하
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.12
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    • pp.839-847
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    • 1987
  • The probabilistic production cost is calculated by the Expected Incremental Generation Cost Curve(EIGC) method based on the multi-state and multi-block operating conditions. For this, A new algorithm for determining production cost by the EIGC and the generation availability curve (GAC) had been developed in order to realize better economic olad dispatch and better reliability for power system operation. The simpler method for determining the EIGC and the GAC is proposed for convenience and saving in computation time.

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Study on the Biomedical Signal Processing System (신호처리 알고리즘을 적용한 생체신호처리 시스템에 관한 연구)

  • 박차훈;김태선
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2001.05a
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    • pp.252-255
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    • 2001
  • The purpose of this study is to realize the real time monitoring ECG telemetry system applied by the telemetry unit, in which transmission is made through the electronic wave and reception is made through the light, and by the wavelet algorithm as well. A light receiver via existing telemetry unit which is based on baseband, the reception length was 50cm, but when the frequency modulation is used, the reception length is extended to 3m. In addition to this, we have found that the full-duplex method of transmission became available by using dual-mechanism.

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A Study on the Modeling of Network Time Delary (네트워크 시간지연 모델링에 관한 연구)

  • Baek, Soon-Pill;Lee, Kee-Seong
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2338-2340
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    • 2001
  • Recently the control using internet is investigated to realize the remote control independent of place and platform. But this approach also has several problems caused by the irregular network time delay between the server and client. The experiment results using least square estimation are presented to show the effectiveness of the proposed algorithm.

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